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Paper Citation Record · LEDGER

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks

As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2509.05207.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.05207 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:33:03.274488Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T07:23:38.552382Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T21:01:12.093367Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a0cc724-f2bd-4883-8501-5c7b79fde9a5 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-08-05T05:33:03.105804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.105804Z digest=sha256:359e6aba36cbf432ed6d69a70ed7e618e95d2fc9e4e04b3bdd8b11903858ce2b

Observation 397cf56b-0885-4859-876f-bdc05c4eae9c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.821383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.114133Z digest=sha256:25ab03051ff3ef1781b2ba9052b76c12a18b113243c4aa61291ac4095a7cd039

Observation d01a0fe4-5cd4-44f2-a687-bebf841b3cfe · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.809883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.117922Z digest=sha256:6009eb65eb9a8b2d0217aa71eec9a39a75aa54e3deec0812d8908d2cdeeee3d9

Observation 7b9ee8d8-a8c0-4766-89f5-93c6f2f36b0a · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.797971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.121664Z digest=sha256:ca0c45e2a4d0cab3a18e89fced4c075d7801febafdbfe130baf230c192091dcb

Observation ef27c0b4-4708-43bb-af0f-ffa5caeb3f51 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:33:03.786583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.125305Z digest=sha256:938acf1134638378723878a88eafd260bacf45b88e3eb47f9c969b6fab3eced4

Observation fc3de817-e607-459b-a831-f3a490810738 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 6

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.775120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.129245Z digest=sha256:4fc8dd162166d547d7b6f08364e196d343122fe5825e45ec396025ada3bc45d2

Observation 3c653dc8-b7e2-407b-918a-0dc6e41356f8 · outbound

This paper cites FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T05:33:03.133194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.133194Z digest=sha256:bb6e2ab12b7da61fe94ffd7354fcc7ef5f656cb4d13630ad3e696426788608bf

Observation 772ead2e-72e9-4683-a115-7fd966e0d339 · outbound

This paper cites Stochastic Training of Graph Convolutional Networks with Variance Reduction.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T05:33:03.138123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.138123Z digest=sha256:f6b71def81711c528616dd0bd51ea26262bf1ba4e8175cc836d72c5a2a17c548

Observation a5d9d251-b78b-46c0-9f2c-3bd5b626cec5 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T05:33:03.142135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.142135Z digest=sha256:cbf017c2bbe5e44fa326c39efd98cc328945245521ce15860290fa0032039652

Observation ddfb8ab9-8f84-4fcb-9b2d-d09649119d61 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:33:03.742268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.149988Z digest=sha256:15e9a2244202d538fcdc472f8bd1049d0080eaf179167da3da8a966a58d1f7d9

Observation be94d438-b6b0-40b2-b874-e815702af042 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 11

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.730440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.153585Z digest=sha256:62a56fe78fab9a70c36335b5183e2792c89f05e5dffb811354e159180160e90f

Observation 10947421-e157-4539-ae77-18ae6e023255 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:33:03.718767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.157279Z digest=sha256:d0d678b3a748bb8d861979effb82d4917c5254a7cd000e459581eb3062f1f868

Observation e558e02d-c343-4295-82e4-56f205ffc199 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.706585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.160982Z digest=sha256:78d3debf0af6616f260d626416df523db7edf31ac42cd0adfbb8fdf69caae02d

Observation 71eea410-4a66-4993-9e81-cfa1aab806d3 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 14

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unresolved
no resolver link, observed 2026-08-05T05:33:03.164629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.164629Z digest=sha256:be485427f1fb76b00e9f9a43172be4b4471462f2b0cbbb3aa1967e5ab9ade435

Observation b78f5540-83d0-4b8b-86e4-d7977adbe7aa · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-05T05:33:03.168094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.168094Z digest=sha256:8dbdea9cb93b193c83fa155356777fa79829ba91f4cad2ec93bfd4f57d76dec1

Observation 123b4b73-e277-44fc-8f37-e30bee1c207b · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:33:03.677572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.171486Z digest=sha256:00a9553f5b10371f0282446c375e256fb3e5e46530c1ffae1a10db7b0ef7d470

Observation 003981cb-ad90-4b39-9dfd-1cac8f81f6b5 · outbound

This paper cites Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:33:03.370344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.174935Z digest=sha256:73b67981ae2f40aed38ab8ca5e1765e0a1e09406f3d0c39ceca888d3ce4ffcb3

Observation 3fb681ba-d5ad-48d2-8cbb-68c5218bacec · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 18

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.665939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.178736Z digest=sha256:edcc0e9ca86a7611efe70aa9bfc274c3f62f70706a6369555c2c678acd5c6454

Observation 779f5915-8875-4c29-b19d-3f52a0f87145 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.654657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.182383Z digest=sha256:889c23e977ca3f08a80b5b71cce5599176fa12b4885de1e1278c71e97b15b975

Observation 5bd9a4fa-a94d-4e68-b151-b382d6e7fa23 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.643037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.185920Z digest=sha256:85aef7d1cc0435d3f307a8a5270b683bd0da629a324970f2b5910b1316d73416

Observation 9102637b-d4c8-4003-8c81-aa94676c0785 · outbound

This paper cites Gunawi, Cody Hammock, Joe Mambretti, Alexander Barnes, François Halbach, Alex Rocha, and Joe Stubbs.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Gunawi, Cody Hammock, Joe Mambretti, Alexander Barnes, François Halbach, Alex Rocha, and Joe Stubbs

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:33:03.631593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.189612Z digest=sha256:e0537f1e02d2db565e806199e5d22dd60568179a47976ce94d255eab21b99332

Observation aeb6bfe2-d6c2-41bc-8a66-38e7bd74a9a0 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 22

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unresolved
no resolver link, observed 2026-08-05T05:33:03.193159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.193159Z digest=sha256:6e8062a1b41a66a33e2f7d135ecc15fd0f90632cb88a69b80f592a7854d6d64d

Observation f4889846-0f79-42c3-bf6d-a2ec76f405d8 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 23

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.619844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.196947Z digest=sha256:34547c842b43e98410dc2d6aab3f490a0239aacf56fb38e7e3e6e17fbfe099be

Observation 80f41558-e25c-4b28-8af4-e7da093823fa · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:33:03.597631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.204299Z digest=sha256:55dee16ce7a519de452dd89b2f3b43c0b284160e1c18fccc914901c2174a4da5

Observation 590b66fb-edbe-43bb-bbb6-5e49f88ae02f · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.586151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.207831Z digest=sha256:d4bf5ce4b21d73c473b08dbeaedc97228842fd8ebd27ed03360573bf31ce6e7e

Observation 2f1459ff-ff8f-4e4f-a6cd-80c4c1a7405c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.574801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.211726Z digest=sha256:1cfd7353c8229bff1e3a63f6a564b35105e504ab59526e60157bfe7989287d53

Observation 50fbc67a-1120-4e63-b2b9-8a69823975e0 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.563690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.215421Z digest=sha256:ef0a29cca88ff65d4a6d09e065d81b3b9eed42c98e748527959e9cb9ebb174a3

Observation 89054193-2810-4ea7-adcf-d73d3a9ed547 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-05T05:33:03.551751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.219059Z digest=sha256:5c5e7e8bb8ff061a7acf5fc901898498891aa52c05ee570ef12d0418579e5af0

Observation bc82a5e1-8800-4764-a076-dc57d74464a2 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.528621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.226755Z digest=sha256:009cd87b9e009baf3207dad82f3b4e589469ed8a6adf7533c1ffa801bb85c947

Observation acee4cdb-2db0-4d5a-848c-6a03652a9957 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 30

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.516597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.230367Z digest=sha256:b4a9d06090ba08f3785f8eb28d8f2e772b4a4c34e28b894480593b568b945a8f

Observation 170e3ddd-7c30-4c75-86d3-0444b9ab119c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.504639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.233922Z digest=sha256:c7225da71e27494b5da188821f9f71889a9fd7087d588bedee574d77eada1357

Observation 4d9aa573-1e8d-4b97-b65c-20d539bdd0c5 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.540366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.223083Z digest=sha256:6be9a10faef1d69e7c3988d4bbec7b7f6b180dc66764c82881961ce8ef2d11f9

Observation 8b4c9cd2-871a-4433-ba99-7ffa3b84445c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.479713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.240988Z digest=sha256:cf1adb5b7e437239e03b0f6ed455f08034f2313f7c96948beae1b715dfc5336a

Observation d52b543e-7a87-4b50-b5bb-6ae5eb9a2d1c · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-05T05:33:03.467867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T05:33:03.245275Z digest=sha256:2fcc34a8f766457f8d29d041d048fb7c4704181a5adedff46ace4e0d76fe6776

Observation 22fd8a61-583d-4812-b4ad-a15b3f6e583d · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 35

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unresolved
no resolver link, observed 2026-08-05T05:33:03.249070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:33:03.249070Z digest=sha256:9dda85d235b5b3c9c45bfb907045cc3b85babf1c354a55bbe28d96f43ece265d

Observation faa9b84e-3e2b-49fc-ae3a-7d9a7497ff03 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:33:03.491621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0f72a4ea-75b4-4adc-8462-7aaa72690231 · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 37

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Source-reported events for the cited work

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Observation e514c172-a1d5-4f23-a143-177b25467d57 · outbound

This paper cites Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 01a4b769-7f77-4f9d-9415-41b32a1c29c1 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b9e3a585-7b7e-47c6-9454-20f7c7d5a973 · outbound

This paper cites an unresolved cited work.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7eacf3c2-d14b-4b85-bc59-66ad45cb104e · outbound

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RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 41

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9fda5f4f-3b2b-4c86-91f7-d92d593d6d89 · outbound

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RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Unresolved cited work

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07f1bcc8-f6ee-4542-bb6c-2c2cb5586fc2 · outbound

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Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ed8f03f3-18a5-4891-b25a-8e7e853a8435 · outbound

This paper cites InProceedings of the 4th annual ACM Web science conference.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks InProceedings of the 4th annual ACM Web science conference

Reference 2012

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2277e191-2b03-4cd7-b456-df148ca3adf2 · outbound

This paper cites InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks InProceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2019

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 300635b7-4bd3-4d8a-bd8c-49ecc911ff7f · outbound

This paper cites Briefings in bioinformatics23, 4 (2022), bbac231.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Briefings in bioinformatics23, 4 (2022), bbac231

Reference 2022

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Pith citing papers

Observation ee5e9e9c-f4ff-4648-9c20-87d7abf0ca21 · inbound

GreenDyGNN: Runtime-Adaptive Energy-Efficient Communication for Distributed GNN Training cites this paper.

GreenDyGNN: Runtime-Adaptive Energy-Efficient Communication for Distributed GNN Training RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks

Reference 7

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Source-reported events for the cited work

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